tensorflow.python.framework.errors_impl.InternalError: CUB reduce error invalid configuration argument [[{{node FUllYConnected_1/weight_regularizer/Sum}}]] [[{{node metrics/acc/Mean}}]]

Hi team,

i am getting the following error every time i am trying to train a model using Convolution NN.
I have GEForce GTX1050 4GB graphics card with CUDA computability 6.1.

Error : tensorflow.python.framework.errors_impl.InternalError: CUB reduce errorinvalid configuration argument
[[{{node FUllYConnected_1/weight_regularizer/Sum}}]]
[[{{node metrics/acc/Mean}}]]

so far i have tried following setting

from keras import backend as K
#import tensorflow as tf
'''with K.tf.device('/gpu:0'):
    config = tf.ConfigProto(intra_op_parallelism_threads=4,\
           #inter_op_parallelism_threads=4, 
           allow_soft_placement=True,\
           device_count = {'CPU' : 4, 'GPU' : 1}
           )
    session = tf.Session(config=config)
    K.set_session(session)'''
config = tf.ConfigProto(intra_op_parallelism_threads=1, allow_soft_placement=True, device_count = {'GPU': 1 , 'CPU': 1} ) 
sess = tf.Session(config=config) 
K.set_session(sess)

The entire Log is here below

2019-04-24 20:06:26.915635: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
2019-04-24 20:06:27.820975: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493
pciBusID: 0000:01:00.0
totalMemory: 4.00GiB freeMemory: 3.30GiB
2019-04-24 20:06:27.828955: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0
2019-04-24 20:06:28.433254: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-04-24 20:06:28.438610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0
2019-04-24 20:06:28.441346: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N
2019-04-24 20:06:28.444947: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 3011 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
Found 670341 images belonging to 36 classes.
Found 13700 images belonging to 36 classes.
WARNING:tensorflow:From D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
2019-04-24 20:07:00.696348: E tensorflow/core/grappler/clusters/utils.cc:83] Failed to get device properties, error code: 30
Failed to initialize GPU device #0: unknown error
WARNING:tensorflow:From D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\backend\tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use rate instead of keep_prob. Rate should be set to rate = 1 - keep_prob.


Layer (type) Output Shape Param #

1stInput (InputLayer) (None, 32, 32, 1) 0


1st (Conv2D) (None, 32, 32, 32) 832


batchNorm1 (BatchNormalizati (None, 32, 32, 32) 128


Relu1 (ReLU) (None, 32, 32, 32) 0


pool3 (MaxPooling2D) (None, 32, 32, 32) 0


dropout1 (Dropout) (None, 32, 32, 32) 0


2nd_conv (Conv2D) (None, 32, 32, 64) 18496


batchNorm2 (BatchNormalizati (None, 32, 32, 64) 256


relu2 (ReLU) (None, 32, 32, 64) 0


pool4 (MaxPooling2D) (None, 32, 32, 64) 0


dropout2 (Dropout) (None, 32, 32, 64) 0


3rd_conv (Conv2D) (None, 32, 32, 86) 49622


batchNorm3 (BatchNormalizati (None, 32, 32, 86) 344


relu3 (ReLU) (None, 32, 32, 86) 0


pool5 (MaxPooling2D) (None, 16, 16, 86) 0


dropout3 (Dropout) (None, 16, 16, 86) 0


FlattenLayer1 (Flatten) (None, 22016) 0


FUllYConnected_1 (Dense) (None, 1024) 22545408


batchNorm4 (BatchNormalizati (None, 1024) 4096


relu4 (ReLU) (None, 1024) 0


dropout6 (Dropout) (None, 1024) 0


FUll_2 (Dense) (None, 1024) 1049600


batchNorm5 (BatchNormalizati (None, 1024) 4096


relu5 (ReLU) (None, 1024) 0


dropout7 (Dropout) (None, 1024) 0


FUll_3 (Dense) (None, 36) 36900

Total params: 23,709,778
Trainable params: 23,705,318
Non-trainable params: 4,460


None
Model configured…!
WARNING:tensorflow:From D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\tensorflow\python\ops\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Epoch 1/30
2019-04-24 20:07:12.231219: I tensorflow/stream_executor/dso_loader.cc:152] successfully opened CUDA library cublas64_100.dll locally
Traceback (most recent call last):
File “CNN_mainScript.py”, line 74, in
obj.training()
File “D:\Projects\OCR-master\LSTMTraining.py”, line 234, in training
workers=1
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\legacy\interfaces.py”, line 91, in wrapper
return func(*args, **kwargs)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\engine\training.py”, line 1418, in fit_generator
initial_epoch=initial_epoch)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\engine\training_generator.py”, line 217, in fit_generator
class_weight=class_weight)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\engine\training.py”, line 1217, in train_on_batch
outputs = self.train_function(ins)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\backend\tensorflow_backend.py”, line 2715, in call
return self._call(inputs)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\keras\backend\tensorflow_backend.py”, line 2675, in _call
fetched = self._callable_fn(*array_vals)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\tensorflow\python\client\session.py”, line 1439, in call
run_metadata_ptr)
File “D:\AnacondaInstalled\envs\tfgpu\lib\site-packages\tensorflow\python\framework\errors_impl.py”, line 528, in exit
c_api.TF_GetCode(self.status.status))
tensorflow.python.framework.errors_impl.InternalError: CUB reduce errorinvalid configuration argument
[[{{node FUllYConnected_1/weight_regularizer/Sum}}]]
[[{{node metrics/acc/Mean}}]]

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